automatic import of python-amplpyopeneuler20.03

1 files changed, 94 insertions, 4 deletions

diff --git a/python-amplpy.spec b/python-amplpy.spec
index c4bec18..e745e50 100644
--- a/python-amplpy.spec
+++ b/python-amplpy.spec
@@ -1,11 +1,11 @@
 %global _empty_manifest_terminate_build 0
 Name:		python-amplpy
-Version:	0.9.2
+Version:	0.9.3
 Release:	1
 Summary:	Python API for AMPL
 License:	BSD-3
 URL:		http://ampl.com/
-Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/df/d0/91d8cc0bbf91db951b00a5005ee6bd85015a896b74551a7725d5152fe6a7/amplpy-0.9.2.tar.gz
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/cf/22/5b01cf9c3cc1a70c81f3fc27901121a544a5e75eea08a20c9953565ac9d2/amplpy-0.9.3.tar.gz
 
 Requires:	python3-future
 Requires:	python3-ampltools
@@ -30,6 +30,36 @@ $ python
 >>> ampl = AMPL() # instantiate AMPL object
 ```
 
+```python
+# Minimal example:
+from amplpy import AMPL
+import pandas as pd
+ampl = AMPL()
+ampl.eval(r"""
+    set A ordered;
+    param S{A, A};
+    param lb default 0;
+    param ub default 1;
+    var w{A} >= lb <= ub;
+    minimize portfolio_variance:
+        sum {i in A, j in A} w[i] * S[i, j] * w[j];
+    s.t. portfolio_weights:
+        sum {i in A} w[i] = 1;
+""")
+tickers, cov_matrix = # ... pre-process data in Python
+ampl.set["A"] = tickers
+ampl.param["S"] = pd.DataFrame(
+    cov_matrix, index=tickers, columns=tickers
+).unstack()
+ampl.option["solver"] = "gurobi"
+ampl.option["gurobi_options"] = "outlev=1"
+ampl.solve()
+assert ampl.get_value("solve_result") == "solved"
+sigma = ampl.get_value("sqrt(sum {i in A, j in A} w[i] * S[i, j] * w[j])")
+print(f"Volatility: {sigma*100:.1f}%")
+# ... post-process solution in Python
+```
+
 [[Documentation](https://amplpy.readthedocs.io/)] [[AMPL Modules for Python](https://dev.ampl.com/ampl/python/modules.html)] [[Available on Google Colab](https://colab.ampl.com/)] [[AMPL Community Edition](http://ampl.com/ce)]
 
 `amplpy` is an interface that allows developers to access the features of [AMPL](https://ampl.com) from within Python. For a quick introduction to AMPL see [Quick Introduction to AMPL](https://dev.ampl.com/ampl/introduction.html).
@@ -79,6 +109,36 @@ $ python
 >>> ampl = AMPL() # instantiate AMPL object
 ```
 
+```python
+# Minimal example:
+from amplpy import AMPL
+import pandas as pd
+ampl = AMPL()
+ampl.eval(r"""
+    set A ordered;
+    param S{A, A};
+    param lb default 0;
+    param ub default 1;
+    var w{A} >= lb <= ub;
+    minimize portfolio_variance:
+        sum {i in A, j in A} w[i] * S[i, j] * w[j];
+    s.t. portfolio_weights:
+        sum {i in A} w[i] = 1;
+""")
+tickers, cov_matrix = # ... pre-process data in Python
+ampl.set["A"] = tickers
+ampl.param["S"] = pd.DataFrame(
+    cov_matrix, index=tickers, columns=tickers
+).unstack()
+ampl.option["solver"] = "gurobi"
+ampl.option["gurobi_options"] = "outlev=1"
+ampl.solve()
+assert ampl.get_value("solve_result") == "solved"
+sigma = ampl.get_value("sqrt(sum {i in A, j in A} w[i] * S[i, j] * w[j])")
+print(f"Volatility: {sigma*100:.1f}%")
+# ... post-process solution in Python
+```
+
 [[Documentation](https://amplpy.readthedocs.io/)] [[AMPL Modules for Python](https://dev.ampl.com/ampl/python/modules.html)] [[Available on Google Colab](https://colab.ampl.com/)] [[AMPL Community Edition](http://ampl.com/ce)]
 
 `amplpy` is an interface that allows developers to access the features of [AMPL](https://ampl.com) from within Python. For a quick introduction to AMPL see [Quick Introduction to AMPL](https://dev.ampl.com/ampl/introduction.html).
@@ -122,6 +182,36 @@ $ python
 >>> ampl = AMPL() # instantiate AMPL object
 ```
 
+```python
+# Minimal example:
+from amplpy import AMPL
+import pandas as pd
+ampl = AMPL()
+ampl.eval(r"""
+    set A ordered;
+    param S{A, A};
+    param lb default 0;
+    param ub default 1;
+    var w{A} >= lb <= ub;
+    minimize portfolio_variance:
+        sum {i in A, j in A} w[i] * S[i, j] * w[j];
+    s.t. portfolio_weights:
+        sum {i in A} w[i] = 1;
+""")
+tickers, cov_matrix = # ... pre-process data in Python
+ampl.set["A"] = tickers
+ampl.param["S"] = pd.DataFrame(
+    cov_matrix, index=tickers, columns=tickers
+).unstack()
+ampl.option["solver"] = "gurobi"
+ampl.option["gurobi_options"] = "outlev=1"
+ampl.solve()
+assert ampl.get_value("solve_result") == "solved"
+sigma = ampl.get_value("sqrt(sum {i in A, j in A} w[i] * S[i, j] * w[j])")
+print(f"Volatility: {sigma*100:.1f}%")
+# ... post-process solution in Python
+```
+
 [[Documentation](https://amplpy.readthedocs.io/)] [[AMPL Modules for Python](https://dev.ampl.com/ampl/python/modules.html)] [[Available on Google Colab](https://colab.ampl.com/)] [[AMPL Community Edition](http://ampl.com/ce)]
 
 `amplpy` is an interface that allows developers to access the features of [AMPL](https://ampl.com) from within Python. For a quick introduction to AMPL see [Quick Introduction to AMPL](https://dev.ampl.com/ampl/introduction.html).
@@ -143,7 +233,7 @@ With `amplpy` you can model and solve large scale optimization problems in Pytho
 
 
 %prep
-%autosetup -n amplpy-0.9.2
+%autosetup -n amplpy-0.9.3
 
 %build
 %py3_build
@@ -183,5 +273,5 @@ mv %{buildroot}/doclist.lst .
 %{_docdir}/*
 
 %changelog
-* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.2-1
+* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 0.9.3-1
 - Package Spec generated